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Channel

Silvāticā

@silvatica_cosmetics

On this record: Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Cite this entry

593subscribers

+123 since we began measuring on 7 August 2026

Risers and fallers across the register · movement among entries of Under 1,000.

Register entry

Telegram ID-1003172312207
TypeChannel
Username@silvatica_cosmetics
CreatedBetween 1 September 2025 and 30 November 2025— estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded8 August 2026
Last confirmed live15 August 2026
Measurements held4
Confirmed unchanged1 time, most recently 15 August 2026
On Telegramt.me/silvatica_cosmetics

Growth

4695935317 August 2026 — 470 subscribers8 August 2026 — 469 subscribers8 August 2026 — 469 subscribers15 August 2026 — 593 subscribers7 August 202615 August 2026
4 measurements spanning 8 days, net +123. Dots are measurements; the straight line between them is drawn to join them, not to claim we know the path taken in between — snapshots are recorded only when a count changes, so gaps mean “no change observed”, never “interpolated”. The vertical axis spans 450–612 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
15 Aug 2026, 08:23593+124
8 Aug 2026, 04:46469no change
8 Aug 2026, 03:51469-1
7 Aug 2026, 17:46470first reading

Engagement

13 posts held, back to 26 July 2026the reader has not yet reached the start of this channel’s public history, so older posts may sit further back, unread. Read across 1 pageof Telegram’s post history, 20 posts per page.

ERR · 30 days
24.6%
avg views ÷ 593 subscribers
Avg views / post
146
13 posts measured
Reaction rate
6.17%
reactions ÷ views · ER floor
Posts in window
13
of 13 held

ERR is average views per post over the last 30 days divided by subscribers, the definition TGStat uses, so this figure is comparable with the one you will see elsewhere. It falls structurally as a channel grows: a high ERR on a small channel and a low one on a large channel describe reach mathematics, not quality. We publish the figure and the sample it came from and pass no verdict on it.

ER is defined industry-wide as (forwards + reactions + comments) ÷ views— note the denominator is views, not subscribers. Telegram’s public web preview carries views and reactions but not forward or comment counts, so the reaction rate above is the reactions term only and is therefore a floor: the true ER for this channel is higher by an amount we have not measured and will not estimate.

What these figures were computed from
WindowRolling 30 days · latest post in window 7 August 2026
Posts held13 (26 July 20267 August 2026)
Views total1,895
Reactions total117
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken8 Aug 2026, 04:46 UTC

Views are a single reading per post, taken at the time above. A post published in the last day or two is still accumulating views, which pulls the 30-day average down slightly. That is a property of the standard definition rather than a fault in it, so we keep the definition rather than “correcting” the number into something nobody can reproduce.

Precision. Telegram publishes view counts on its public widget in short form — 8.12K, 3.7M — so any reading at or above 1,000 reaches us rounded to three significant figures, and only counts below 1,000 are exact. Averages and rates derived from them are shown to the same precision rather than to the unit: a figure like 3,701,250 would assert digits nobody measured.

Reaction counts are published per emoji and rounded the same way, so a total below 1,000 is exact and a larger one is a sum that may carry a rounded component from each emoji above 1,000. Because it is a sum, it does not look rounded — read a large reaction total as three significant figures per contributing emoji rather than as the figure it prints.

What this channel posts

Video runtime
1m 28s
Average length
22s

Measured directly from 4 videos with a duration reading, out of the posts we hold for this channel — not this channel’s whole posting history, only the sample this register has actually read. An exact reading to the second, taken from the post itself rather than from Telegram’s own rounded chrome, so it carries no mark.

Reaction mix

117 reactions across 13 posts, in 13 distinct kinds. The most used accounts for 37.6% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
4437.6%
🔥2420.5%
custom 541824152183086994386.84%
custom 523118820137214116575.98%
custom 526255447638385815875.98%
custom 535942654462213237865.13%
custom 526029919764666424643.42%
custom 526269153308524296043.42%
👍43.42%
🥰43.42%
😍32.56%
💘10.855%
🤔10.855%

Custom emoji. 6 of the rows above are Telegram custom emoji, which the public preview renders as an element carrying only a numeric id — no character, and no image we can reach. The id is printed as-is rather than substituted with a look-alike glyph, because a stand-in would be our invention showing where a measurement should be. The counts beside them areTelegram’s.

No sentiment is inferred, and none should be read in. This table is ordered by count and by nothing else. Emoji do not carry stable meaning across languages or communities — 🙏 is thanks in one channel and mourning in another — so we publish which ones were pressed and how often, and pass no judgement on what an audience meant by them.

Precision. Telegram publishes reaction counts per emoji and short-forms each one — 4.34K, 1.2M — so any single kind at or above 1,000 reaches us at three significant figures, and only counts below 1,000 are exact. The shares above are ratios of those figures and carry the same error. This is also why the total here can differ slightly from a reaction total printed elsewhere on the page: both are sums of the same rounded parts, taken over samples with different edges.

Coverage. Reactions were read on 13 of the 13 sampled posts in this sample. Summed by Telegram’s own count on each post — not by adding up the per-emoji breakdown above — those same posts carry 117reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 13 most recent posts we hold, published 26 July 2026 to 7 August 2026, using the newest reading held for each. Telegram Stars are excluded: they are a payment, not a reaction, and they have their own section.

Recent posts

7 Aug 2026, 09:37 UTC76 views17 reactionsread 8 August 2026
Photo

Дарим набор ухода 🤲 Бокс 3 лучших средств для ухода за кожей: - розовая вода для увлажнения и восстановления - сыворотка с ниацинамидом и пептидами для поддержки микробиома кожи - крем с лактобиотилом для восстановления липидного барьера Что нужно сделать для участия в розыгрыше? 1️⃣Подписаться на этот телеграм-канал: https://t.me/silvatica_cosmetics 2⃣Нажать кнопку «Участвую!» Итоги подведем через неделю, 14 а

6custom 52625544763838581586🔥5

6 Aug 2026, 11:24 UTC86 views10 reactionsread 8 August 2026
Video

🪷 Почему вода из лепестков розы не теряет актуальности во времена сложных пептидов и кислот? Что в составе? 100% гидролат дамасской розы. Это чистый дистиллят, который получается при производстве розового масла способом паровой выгонки. В каждой капле — водорастворимые полезные компоненты растения и микродозы эфирных масел в самой естественной и усвояемой для кожи форме. Натуральный аромат дамасской розы воздейств

4custom 53594265446221323783custom 52602991976466642462👍1

5 Aug 2026, 11:16 UTC97 views8 reactionsread 8 August 2026
Photo

Даже небольшая баночка или флакон Silvatica получают шанс стать новым полезным предметом, а не отходами 🤍 💫Silvatica

5🔥3

4 Aug 2026, 06:52 UTC154 views5 reactionsread 8 August 2026
Video message

Video message, posted without a caption

5

4 Aug 2026, 06:51 UTC139 views2 reactionsread 8 August 2026
Video message

Video message, posted without a caption

🥰2

4 Aug 2026, 06:51 UTC146 views3 reactionsread 8 August 2026
Video message

Video message, posted without a caption

😍3

1 Aug 2026, 15:56 UTC249 views10 reactionsread 8 August 2026

Posted without readable text

3custom 52311882013721411652custom 52626915330852429602custom 53594265446221323782🤔1

31 Jul 2026, 15:38 UTC204 views13 reactionsread 8 August 2026
Video

Возможно, вам нужен не ещё один кофе, а проверка ферритина 🌞 Если усталость стала постоянным фоном, одной из причин может быть низкий уровень запасов железа. 💫Апельсин — источник витамина С, который помогает усваивать железо. 💫Киви — поддерживает иммунитет. 💫Яблоко — лёгкий источник энергии. 💫Шпинат — содержит железо и магний. 💫Тыквенные семечки — богаты цинком, полезными жирами и другими важными микроэлементами.

🔥10custom 52602991976466642462custom 54182415218308699431

30 Jul 2026, 16:16 UTC179 views9 reactionsread 8 August 2026
Forwarded from @privet_devushkaPhoto

Плюсы бьюти-блога: очень много косметики. Минусы бьюти-блога: очень просто похитить. Достаточно показать крем-аромаритуал, который пахнет листом смородины, растёртым между пальцев. Или сказать, что он реально восстанавливает кожу, а не маскирует симптомы. Так что сегодняшнюю трансляцию веду из плена крема Silvāticā. Посмотрите на эту текстуру! Если ароматом вас не удивить, то запомните название: лактобиотил. Бываю

3custom 54182415218308699433🔥1custom 52625544763838581581custom 53594265446221323781

29 Jul 2026, 13:39 UTC165 views3 reactionsread 8 August 2026
Photo

Заглянули в состав любимого крема и снова увидели слово «антиоксиданты»? 🌿 Каждый день наша кожа сталкивается с ультрафиолетом, смогом, стрессом и даже синим светом от экранов гаджетов. Все эти факторы запускают образование свободных радикалов — нестабильных молекул, которые разрушают коллаген, провоцируют ранние морщины, тусклость и воспаления. Антиоксиданты — это суперангелы-хранители кожи. Они отдают свободным р

🔥2👍1

28 Jul 2026, 13:17 UTC140 views12 reactionsread 8 August 2026
Video

Приглашаем на наше собственное натуральное производство в Подмосковье 🌱 Мы используем только чистые составы из природных ингредиентов и контролируем качество продукта на каждом этапе 🪷 Завод находится в России. Это многолетнее предприятие основано B 1989 году советским ученым, и объединяет в своих стенах творческую студию, 2 лаборатории и цех производственного цикла.

6🔥2🥰2💘1custom 52311882013721411651

27 Jul 2026, 16:36 UTC140 views8 reactionsread 8 August 2026
Photo

Друзья, спасибо, что вы с нами! Несмотря на всё происходящее на рынке - держим для вас самые лояльные цены на остатки товаров с WB 🤲 Мы тоже поддерживаем социальную акцию #корзинавб. Если вы давно откладывали покупку, сейчас самый удачный момент. ➡️Переходите по ссылке, чтобы выбрать ваш ритуал заботы о себе!

5👍1🔥1custom 54182415218308699431

Showing the 12 most recent of 13 posts we hold for @silvatica_cosmetics. View and reaction counts are the latest single reading for each post, not a live figure, and a recent post is still accumulating both. A view count marked was rounded by Telegram before we ever saw it — t.me prints views in full below 1,000 and to three significant figures above, so ≈1,200,000 means somewhere between 1,150,000 and 1,249,999. Unmarked counts are exact. Text is reproduced from the public post preview and truncated for length.

Citation-graph rank

Citation-graph rank — 351,786 of 1,480,975entries in the measured graph. A weighted position computed from the forward and mention edges below — republished posts weigh more than named mentions — and recomputed periodically, over the whole graph. Published only as this ordinal position, never as a score: a position is a fact, and a score printed beside one channel’s name would read as a verdict this register does not make. The two counts beneath stay separate for the same reason mentions are never summed with forwards anywhere else on this page — a named-by count costs nothing to manufacture. The top 100 by this measure, or how it is computed.

Forward network

Republishes

Channels on the register whose posts this channel has forwarded.

Built only from forwarded posts we have actually read, on both sides. Coverage is early and deliberately incomplete: a missing link means we have not read the post that would prove it, never that the relationship does not exist. Counts are distinct forwarded posts observed, so they only ever go up as we read more.

Mentions

Named by 1 registered channel — every channel on the register whose own posts have named this one, by its current username or any other username it currently holds, merged from two separately captured readings of the same fact so a namer caught by only one of them is not missed and a namer both caught is not counted twice. A username this channel has since dropped is not matched — that handle may belong to someone else now, and crediting today’s namer to yesterday’s owner would misattribute it.

Named by

Channels on the register whose posts name this channel's handle.

A mention is a weaker signal than a forward and is counted separately for that reason — naming a channel is not republishing it, and a handle in a post body is easy to place deliberately. The post counts beside each row below are distinct posts in which the handle appeared, from posts we have read on both sides — the “Named by N registered channels” figure above is a different count, of distinct NAMING CHANNELS rather than posts, and is not the sum of the rows under it.

Cite this entry

A live page changes as we take new readings, so a citation should name the measurement it is based on, not just the URL. The line below cites the subscriber count as measured 15 August 2026 — this entry's latest reading, not the date you are reading this.

“Silvāticā” (@silvatica_cosmetics), 593 subscribers as measured 15 August 2026. Telegram Register, tgregister.com/channel/silvatica_cosmetics.

Full measurement history, CC BY 4.0. Every reading this register holds for this entry, not just the latest one, as a dated, downloadable record: CSV · JSON. Free to use with attribution to tgregister.com. Each file carries its own generation timestamp, which is the figure to cite for exactly when the data was retrieved.